Decision Tree Classifier on Social Network Ads dataset with pruning for improved performance.
Meta-style product analytics case study analyzing user funnels, activation, and cohort retention using SQL and Python.
Automated end-to-end test scripts for a music library application using Cypress. The tests simulate a typical sequence of user actions—from logging in through updating the music library—to validate real-world use cases and the integrity of user workflows.
A Django-based video platform that captures real-time user engagement metrics and provides deep analytics on watch time, user sessions, and video performance.
User behavior analysis using Python with funnel analysis, drop-off detection, and machine learning prediction.
Product analytics case: funnel conversion analysis and data-driven product insights
This analysis focuses on understanding user behavior and conversion performance in an e-commerce mobile application using event-level data.
Analysis of Netflix user behavior, demographics, and subscription data to optimize engagement and marketing strategies.
The project consists in a deep usability analysis of Rotten Tomatoes website to understand whether the web usability principles have been respected
KNN classifier using Social Network Ads dataset with decision boundary visualization and feature scaling.
(WIP) an npm sdk for understanding user drop-offs in web apps by inferring structured explanations from browser performance and interactions.
Developed a Tableau dashboard for Web Marketing Analysis to monitor key web metrics, analyze user behavior, and derive actionable insights.
完成淘宝用户行为分析项目：含漏斗、RFM、留存及付费偏好分析
Centralized analytics service that tracks and processes: - User behavior (sessions, clicks, conversions) - Service-level metrics (latency, uptime, usage) - Business KPIs (revenue, churn, retention) ## Features - REST API with FastAPI - Real-time event ingestion - PostgreSQL + InfluxDB for data storage
Social Media Entertainment Report
[W.I.P.] Robot which can simulate user behavior and learn what to do.
Contains an implementation using NuPIC HTM model for Network Anomaly Detection. This uses the Hierarchical Temporal Memory Architecture to detect anomalies in networks.
OnBehaVR is an ontology that aims to characterize information on the user behaviour in a virtual reality environment by leveraging the Unified Foundational Ontology (UFO) and OntoUML modelling language so data from different sources can be explained and, therefore, represented and integrated.
User behavior analysis for a food products mobile application, including sales funnel analysis and evaluation of a typographic redesign through an A/A/B test.
Add a description, image, and links to the user-behaviour topic page so that developers can more easily learn about it.
To associate your repository with the user-behaviour topic, visit your repo's landing page and select "manage topics."